ADVANCED EPIDEMIOLOGY II
2016/2017, Semester 2
Saw Swee Hock School of Public Health (Saw Swee Hock School of Public Health)
Modular Credits: 4
This module will be conducted every Monday and Wednesday, 9am to 12noon. Classes will start on 13 February 2017.
For more information on topics and venues, please check the module schedule uploaded in the IVLE Files. Any changes to the schedule will be reflected in the module schedule.
This module covers advanced methods for the design, conduct, analysis and interpretation of epidemiologic studies. Students will apply these methods to the interpretation of published research and the design of a new research project. The main focus is on analytical studies that aim to identify risk factors for diseases particularly case-control and cohort studies. Topics include causal inference, study design, methods of handling confounding and identifying effect modification, measurement error and information bias, selection bias, lifestyle and molecular epidemiology, and meta-analysis. Students will be expected to critique research articles and participate in facilitated group discussions.
CO5102 Principles of Epidemiology and CO5103 Quantitative Epidemiologic Methods or equivalent courses
Critiques of Research Articles
Student Projects: written study proposal
Upon completion of this course, you will be able to:
Understand the strengths, limitations, and principles of different study designs including retrospective case-control, nested case-control, case-cohort, case-cross over, cohort, cross-sectional, and ecological studies, randomized controlled trials, and trials nested in cohort studies.
Identify and interpret effect modification
Identify potential sources of selection and information bias, reverse causation and regression to the mean, and confounding and judge how this may affect results, and understand how to control bias by appropriate study design and rigorous conduct of epidemiological studies
Use and interpret commonly used measures of occurrence, association, and predictive value of screening tests
Explain commonly used considerations for causal inference and models of causality
Understand the concepts ‘validity’ and ‘precision’, ‘random’ and ‘systematic measurement error’, ‘differential’ and ‘non-differential misclassification’, and the use of validation and reproducibility studies for epidemiological research.
Understand the general principles and strengths and limitations of systematic reviews and meta-analyses and be able to judge when these are useful.
Understand the different steps of conducting a systematic review, causes of publication bias, and the importance of evaluating heterogeneity in study results and be able to interpret the main statistical measures and graphs used in meta-analyses.
Understand major considerations specific to the design and interpretation of cancer epidemiology and molecular epidemiology studies.
Judge the quality of articles on epidemiological studies and be able to interpret from these articles.
Use causal diagrams to describe hypothetical relationships between variables of interest.
Understand the use of instrumental variables to assist causal inference for relationships between exposures and health outcomes (e.g., Mendelian randomisation).
Understand important considerations in attempts to translate epidemiological findings to public health policy
Develop a research grant application. Apply the methods to the design of a research study
Student Presentation of Research Proposal:
Written (final) Research Proposal
Total for CA:
Total for Final Examination:
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week